My current research focuses on developing a climate-driven early warning system for jellyfish blooms in the North Sea. By integrating environmental data such as sea temperature, salinity, and nutrient levels with biological observations of jellyfish and their prey, I aim to identify the key drivers of bloom formation. I employ a combination of mechanistic ecological models and statistical/machine learning approaches to predict when and where blooms are likely to occur. Ultimately, this work seeks to improve our ability to anticipate jellyfish outbreaks, supporting both ecosystem management and coastal economic activities affected by these events.